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FRST 507C 202 (Lecture)

Topics in Forest Science - TPS FRST SCIENCE

This course is not eligible for Credit/D/Fail grading.

Credits: 3

Location: Vancouver

Term 2 (Jan 02, 2019 to Apr 04, 2019)


Withdrawal Dates
Last day to withdraw without a W standing : January 14, 2019
Last day to withdraw with a W standing
(course cannot be dropped after this date) :
February 08, 2019

TermDay Start TimeEnd TimeBuildingRoom
2 Tue13:0015:00Forest Sciences Centre1002
Instructor: WOLKOVICH, ELIZABETH


Seat Summary
Total Seats Remaining:5
Currently Registered:7
General Seats Remaining:5
Restricted Seats Remaining*:0
-  This course is entitled, "Experimental design and hierarchical model building with Bayesian inference". This class will cover the fundamentals of model building with a focus on regression and hierarchical models, for data gathered from experiments, observational studies and meta-analytic approaches. The course will cover experimental design, model building for causal inference, hierarchical models, missing data, model verification and validation, and randomized experiments. Much of the course will focus on how to build and use test data to improve study design. Inference will be Bayesian-focused. Pre-reqs: FRST 430 or BIOL 501 or have permission of the instructor.

Book Summary :
Information for the books required for this section is not available.